RePEc: Research Papers in Economics · 2007 · 10 citations · 31 references
Social SciencesEconomicsForecastingMacroeconomicsTime Series AnalysisBusiness CyclesStationarity AnalysisTime Series EconometricsTime Series ForecastingTime Series ModelingCovariance Stationary ProcessesDecomposition Of Trend ComponentsFiltersMultivariate Time Series ForecastingReduced-form Forecasting ModelsTrend Component EstimationTrend Decomposition
Many researchers believe that the Beveridge-Nelson decomposition leads to permanent and transitory components whose shocks are perfectly negatively correlated. Indeed, some even consider it to be a property of the decomposition. We demonstrate that the Beveridge-Nelson decomposition does not provide definitive information about the correlation between permanent and transitory shocks in an unobserved components model. Given an ARIMA model describing the evolution of U.S. real GDP, we show that there are many state space representations that generate the Beveridge-Nelson decomposition. These include unobserved components models with perfectly correlated shocks and partially correlated shocks. In our applications, the only knowledge we have about the correlation is that it lies in a restricted interval that does not include zero. Although the filtered estimates of the trend and cycle are identical for models with different correlations, the observationally equivalent unobserved components models produce different smoothed estimates.
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